EPSRC Reference: |
EP/D05429X/1 |
Title: |
Matching and Painting using Gestalt Models |
Principal Investigator: |
Hall, Professor PM |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Computer Science |
Organisation: |
University of Bath |
Scheme: |
Standard Research (Pre-FEC) |
Starts: |
01 April 2006 |
Ends: |
30 September 2009 |
Value (£): |
275,797
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EPSRC Research Topic Classifications: |
Computer Graphics & Visual. |
Image & Vision Computing |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
When an artist makes a drawing or painting of the real world in front of them, they constantly compare what they see to their art. They retouch their art, sometimes to make it more accurate, other times to bring out parts of the scene that interest them. The point is that making art involves seeing somethings as more important than others, and requires an ability to match artwork to the real world. If we replace the artist by a computer we should expect the same things to be true, but at the moment this is not the case. Our proposal is to match photographs and artwork so machines can make better - and new - art. Doing so offers more benefits than producing better artwork, it is a basic technique we can use to help machines identify important parts of a photograph, which helps computers see the world through human eyes just a little more.
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Key Findings |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.bath.ac.uk |